Data scientists perform a critical function for client organizations. They need to have statistical, mathematical, predictive modelling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.
A data scientist understands how to integrate multiple systems and data sets. They need to be able to link and mash up distinctive data sets to discover new insights. This often requires connecting different types of data sets in different forms as well as being able to work with potentially incomplete data sources and cleaning data sets to be able to use them.
Candidates need to be able to program, preferably in different programming languages such as Python, R, Java, Ruby, Pig or SQL. In addition, people need to be familiar with disciplines such as natural language processing, machine learning, statistical analysis and predictive modeling. Data scientists often working in a fast-paced multidisciplinary environment so need the ability to autonomously to develop and query databases, perform analysis and create prototypes or demonstration systems.
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Big Data Skill
Big Data Analytics Skill
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